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Sensorless Control of Electric Motors with Kalman Filters: Applications to Robotic and Industrial Systems

Content Provider	SAGE Publishing
Author	Rigatos, Gerasimos G. Siano, Pierluigi
Copyright Year	2011
Abstract	The paper studies sensorless control for DC and induction motors, using Kalman Filtering techniques. First the case of a DC motor is considered and Kalman Filter-based control is implemented. Next the nonlinear model of a field-oriented induction motor is examined and the motor's angular velocity is estimated by an Extended Kalman Filter which processes measurements of the rotor's angle. Sensorless control of the induction motor is again implemented through feedback of the estimated state vector. Additionally, a state estimation-based control loop is implemented using the Unscented Kalman Filter. Moreover, state estimation-based control is developed for the induction motor model using a nonlinear flatness-based controller and the state estimation that is provided by the Extended Kalman Filter. Unlike field oriented control, in the latter approach there is no assumption about decoupling between the rotor speed dynamics and the magnetic flux dynamics. The efficiency of the Kalman Filter-based control schemes, for both the DC and induction motor models, is evaluated through simulation experiments.
Related Links	https://journals.sagepub.com/doi/pdf/10.5772/10680?download=true
ISSN	17298806
Issue Number	6
Volume Number	8
Journal	International Journal of Advanced Robotic Systems (ARX)
e-ISSN	17298814
DOI	10.5772/10680
Language	English
Publisher	Sage Publications UK
Publisher Date	2011-01-01
Publisher Place	London
Access Restriction	Open
Rights Holder	© 2011 Gerasimos and Siano; licensee InTech.
Subject Keyword	DC Motors Kalman Filter Extended Kalman Filter Field-oriented Control Unscented Kalman Filter Flatness-based Control Sensorless Control Induction Motors
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Science Applications Software

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